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Multiobjective Optimization of Fabrication Parameters of Jute Fiber/Polyester Composites with Egg Shell Powder and Nanoclay Filler
Molecules ( IF 4.6 ) Pub Date : 2020-11-27 , DOI: 10.3390/molecules25235579
Ganesan Karuppiah , Kailasanathan Chidambara Kuttalam , Murugesan Palaniappan , Carlo Santulli , Sivasubramanian Palanisamy

In the present study, a model is presented to optimize the fabrication parameters of natural fiber reinforced polyester matrix composites with dual fillers. In particular, jute fiber mat was chosen as reinforcement and eggshell powder (ESP) and montmorillonite nanoclay (NC) were selected as fillers. The weight per square meter (GSM) of the fiber, the weight percentage of ESP and NC have been chosen as independent variables and the influence of these variables on tensile, flexural and impact strength of the composite has been inspected. The permutations of the different combinations of factors are intended to accomplish higher interfacial strength with the lowest possible number of tested specimens. The experiments were designed by the Taguchi strategy and a novel multi-objective optimization technique named COPRAS (COmplex PRoportional ASsessment of alternatives) was used to determine the optimal parameter combinations. Affirmation tests were performed with the optimal parameter settings and the mechanical properties were evaluated and compared. Experimental results show that fiber GSM and eggshell powder content are significant variables that improve mechanical strength, while the nanoclay appears less important.

中文翻译:

蛋壳粉和纳米粘土填料黄麻纤维/聚酯复合材料制备参数的多目标优化

在本研究中,提出了一个模型来优化双填料天然纤维增强聚酯基复合材料的制造参数。特别是选择黄麻纤维垫作为增强材料,选择蛋壳粉(ESP)和蒙脱石纳米粘土(NC)作为填料。选择纤维的每平方米重量 (GSM)、ESP 和 NC 的重量百分比作为自变量,并检查这些变量对复合材料的拉伸、弯曲和冲击强度的影响。不同因素组合的排列旨在以尽可能少的测试样本实现更高的界面强度。实验由田口策略设计,并使用一种名为 COPRAS(备选方案的复杂比例评估)的新型多目标优化技术来确定最佳参数组合。使用最佳参数设置进行确认测试,并评估和比较机械性能。实验结果表明,纤维 GSM 和蛋壳粉含量是提高机械强度的重要变量,而纳米粘土似乎不太重要。
更新日期:2020-11-27
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